The construction industry is a major economic sector, but it plagued with inefficiencies and low productivity. Robotics automated systems have the potential to address these shortcomings; however, level of adoption in very low. This paper presents an investigation into industry-specific factors that limit industry. A mixed research method was employed combining literature review, qualitative quantitative data collection analysis. Three focus groups 28 experts online questionnaire were...

This paper presents a study on the usage landscape of augmented reality (AR) and virtual (VR) in architecture, engineering construction sectors, proposes research agenda to address existing gaps required capabilities. A series exploratory workshops questionnaires were conducted with participation 54 experts from 36 organisations industry academia. Based data collected workshops, six AR VR use-cases defined: stakeholder engagement, design support, review, operations management training. Three...

Cloud computing technologies have revolutionised several industries for years. Although the construction industry is well placed to leverage these competitive and operational advantage, diffusion of in follows a steep curve. This study therefore highlights current contributions use cases cloud practices. As such, systematic review was carried out using ninety-two (92) peer-reviewed publications, published between 2009 2019. A key highlight findings that an innovation delivery enabler other...

Despite the relevance of building information modelling for simulating performance at various life cycle stages, Its use assessing end-of-life impacts is not a common practice. Even though global sustainability and circular economy agendas require that buildings must have minimal impact on environment across entire lifecycle. In this study therefore, disassembly deconstruction analytics system developed to provide buildings’ assessment from design stage. The architecture builds existing...

The overall aim of this paper is to contribute a better understanding the Digital Twin (DT) paradigm in built environment by drawing inspiration from existing DT research manufacturing. Product Life Management information construct that has migrated while on subject grown intensely recent years. Common early phases, developed organically, setting basis for mature definitions and robust frameworks. As manufacturing most developed, seeks advance DTs analysing how systems reported literature...

Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood monitoring of pollutant concentration levels, among others. Existing models use complex statistical that are often too costly, both computationally budgetary, or not applied downstream applications. Therefore, approaches Machine Learning algorithms conjunction with time-series data being explored an alternative overcome these drawbacks. To this end,...

Augmented and virtual reality have the potential to provide a step-change in productivity construction sector; however, level of adoption is very low. This paper presents systematic study factors that limit drive sector–specific context. A mixed research method was employed, combining qualitative quantitative data collection analysis. Eight focus groups with 54 experts an online questionnaire were conducted. Forty-two limiting driving identified ranked. Principal component analysis conducted...

This study explores the current practices of Design for Deconstruction (DfD) as a strategy achieving circular economy. Keeping in view opportunities accruable from DfD, review literature was carried out and six focus group interviews were conducted to identify key barriers DfD practices. The results phenomenology reveal 26 under five barrier categories. categories are ‘lack stringent legislation policies’, adequate information at design stage’, large enough market recovered components’,...

Structural health monitoring data has not been fully leveraged to support asset management due a lack of effective integration with other sets. A building information modeling (BIM) approach is presented leverage structural in dynamic manner. The allows for the automatic generation parametric BIM models systems that include time-series sensor data, and it enables data-driven visualization an interactive 3D environment. supports key performance parameters, seamless updating long-term...

Abstract Inappropriate management of health and safety (H&S) risk in power infrastructure projects can result occupational accidents equipment damage. Accidents at work have detrimental effects on workers, company, the general public. Despite availability H&S incident data, utilizing them to mitigate accident occurrence effectively is challenging due inherent limitations existing data logging methods. In this study, we used a text‐mining approach for retrieving meaningful terms from...

In addition to the traditional benefits associated with installation of structural health monitoring systems, reductions in construction, operational and maintenance costs, improved performance quality can be achieved by effectively using acquired data. However, considered isolation, raw data are little use value. They must processed put into a geometric context within infrastructure asset, which facilitates interpretation analysis This supports informed decision making, turn leads effective...

A genetic algorithm-determined deep feedforward neural network architecture (GA-DFNN) is proposed for both day-ahead hourly and week-ahead daily electricity consumption of a real-world campus building in the United Kingdom. Due to comprehensive relationship between affecting factors consumption, adoption multiple hidden layers (DFNN) algorithm would improve its prediction accuracy. The DFNN model mainly refers quantity layers, neurons activation function each layer learning process obtain...

The construction industry generates different types of data from the project inception stage to delivery. This comes in various forms and formats which surpass management, integration analysis capabilities existing intelligence tools used within industry. Several tasks lifecycle bear implications for efficient planning delivery projects. Setting up right profit margins its continuous tracking as projects progress are vital management that require data-driven decision support. Existing...

Having synthetic image generation and automatic labelling as two separate processes remains one of the main limitations large real-world datasets. To overcome this drawback, a methodology to perform both tasks in simultaneous manner is proposed. resemble scenarios, diverse set rendering configurations illumination, locations, sizes are presented. For testing, three datasets (S, M SM), oriented construction field, were generated. Faster R-CNN, RetinaNet, YoloV4 detection algorithms used...

Purpose The purpose of this paper is to highlight the use big data technologies for health and safety risks analytics in power infrastructure domain with large sets risks, which are usually sparse noisy. Design/methodology/approach study focuses on using frameworks designing a robust architecture handling analysing (exploratory predictive analytics) accidents infrastructure. designed based well coherent risk lifecycle. A prototype interfaced various technology artefacts was implemented Java...

Abstract In this article, two methods to develop and optimize accompanying building spatial structural designs are compared. The first, a coevolutionary method, applies deterministic procedures, inspired by realistic design processes, cyclically add suitable the input of design, evaluate improve via finite element method topology optimization, adjust according improved modify such that initial requirements fulfilled. second uses genetic algorithm works on population designs, using for...

Purpose In a circular economy, the goal is to keep materials values in economy for as long possible. For construction industry support of there need reuse. However, little or no information about amount and quality reusable obtainable when buildings are deconstructed. The purpose this paper, therefore, develop reusability analytics tool assessing end-of-life status building materials. Design/methodology/approach A review extant literature was carried out identify best approach modelling...

The understanding of occupancy patterns has been identified as a key contributor to achieve improvements in energy efficiency buildings since information can benefit different systems, such HVAC (Heating, Ventilation, and Air Conditioners), lighting, security, emergency. This meant that the past decade, researchers have focused on improving precision estimation enclosed spaces. Although several works done, one less addressed issues, regarding research, availability data for contrasting...